Quantitative Variable Distributions: Multi Site, Anomaly Detection, Longitudinal Analysis


dc.contributorPatient-Centered Outcomes Research Institute
dc.contributor.authorPEDSnet Data Coordinating Center
dc.contributor.authorWieand, Kaleigh
dc.contributor.authorDickinson, Kimberley
dc.contributor.otherPEDSnet Data Coordinating Center
dc.date.accessioned2025-08-05T18:11:36Z
dc.date.created2025-07-30
dc.description.abstractThis check provides raw data and visualizations to aid a user in evaluating whether the distribution of quantitative variables aligns with clinical expectations. It can summarize the distribution of a quantitative variable (like lab result values) or patient counts (like number of patients with an outpatient visit).
dc.identifier.urihttps://hdl.handle.net/20.500.14642/1172
dc.identifier.urihttps://doi.org/10.24373/pdsp-476
dc.publisherPEDSnet
dc.relation.urihttps://github.com/ssdqa/quantvariabledistribution
dc.rightsa CC-BY Attribution 4.0 License.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0
dc.subjectEvent-Level Analysis
dc.subjectMulti-Site Analysis
dc.subjectData Anomaly Method
dc.subjectLongitudinal Analysis
dc.titleQuantitative Variable Distributions: Multi Site, Anomaly Detection, Longitudinal Analysis
dspace.entity.typeDQCheck
local.code.package# install.packages("devtools") devtools::install_github('ssdqa/https://github.com/ssdqa/quantvariabledistribution')
local.description.rawThis check produces a raw data output containing 12 columns: <br> |Column |Data Type|Definition | |----------------|---------|--------------------------------------------------------------------------------------------| |`site` |character|the name of the site being targeted OR "combined" if multiple sites were provided | |`time_start`|date|the start of the time period being examined| |`value_type`|character|the type of value being measured| |`mean_val` or `median_val`|numeric|the mean or median of the value_type being measured, based on the user's selection| |`allsite_var`|numeric|the euclidean_stat of interest across all sites| |`date_numeric`|numeric|the numeric equivalent of time_start| |`site_loess`|numeric|the euclidean_stat value with Loess regression applied| |`dist_eucl_mean`|numeric|the Euclidean distance of site_loess from allsite_var| |`euclidean_stat`|character|the summary statistic selected by the user for the computation| |`output_function`|character|a string indicating the type of visualization that should be generated by qvd_output| {.dqcheck-table}
local.description.vizThis check displays the Euclidean distance between two time series: the smoothed (Loess) summary statistic as selected by the user for a given site and the all-site statistic. Three graphs are output: 1. A line graph displaying the smoothed summary statistuc at each site over time, with the Euclidean distance available in the tooltip when hovering over the line 2. A line graph displaying the raw (not smoothed) summary statistic at each site over time 3. A circular bar graph displaying the Euclidean distance from the all-site value where the fill represents the average Loess statistic over time
local.dqcheck.categoryPlausibility
local.dqcheck.clinicalprobeClinical Data Distributions
local.dqcheck.clinicalprobeClinical Consistency
local.dqcheck.probeSelection Error or Bias Detection
local.dqcheck.probeInformation Density
local.dqcheck.requirementcohort
local.dqcheck.requirementqvd_value_file
local.dqcheck.requirementomop_or_pcornet
local.dqcheck.requirementmulti_or_single_site
local.dqcheck.requirementanomaly_or_exploratory
local.dqcheck.requirementage_groups
local.dqcheck.requirementtime
local.dqcheck.requirementeuclidean_stat
local.dqcheck.typeVariable Testing
local.dqcheck.vizLine Graph
local.dqcheck.vizRadial Bar Graph
relation.isCodeOfDQCheck929c8dfc-2c8b-4e62-8e1d-0fa06c542832
relation.isCodeOfDQCheck.latestForDiscovery929c8dfc-2c8b-4e62-8e1d-0fa06c542832
relation.isDQResultOfDQCheckded286a9-4ed4-4ad8-9238-dc3b6046df59
relation.isDQResultOfDQCheck.latestForDiscoveryded286a9-4ed4-4ad8-9238-dc3b6046df59

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